Update Home.py

Home.py

@@ -19,6 +19,7 @@ def application():
     from datetime import date
     from description_generator import input_manager, model_control
     from pathlib import Path
+    import datasets
 
     #UI Session Variables
     if 'desc_iter' not in st.session_state:
@@ -134,21 +135,20 @@ def application():
             st.session_state.title_iter = 0
         show_title(0)
 
-    def report():
+    def report():       
         inputs = '|'.join(str(x) for x in st.session_state.inputs) 
         data = {'rprtd':  date.today(),'inpts': inputs, 'title': st.session_state.output_dict[st.session_state.desc_iter]['titles'][st.session_state.title_iter][0], 'desc':st.session_state.output_dict[st.session_state.desc_iter]['text']}
         r_df = pd.DataFrame(data, index=[0])
         try:
-            r_p = pd.read_pickle(Path(__file__).parent / "Persistent_Data/reported_df.PICKLE")
+            r_d = datasets.load_dataset('auto-bg/reported.json')
+            r_p = r_d.to_pandas()
             w_p = pd.concat([r_df, r_p])
             w_p = w_p.drop_duplicates()
-            print('try')
-            print(w_p)
-            w_p.to_pickle(Path(__file__).parent / "Persistent_Data/reported_df.PICKLE")
+            r_d = datasets.Dataset.from_pandas(w_p)
+            r_d.save_to_disk('auto-bg/reported.json')
         except: 
-            print('except')
-            print(r_df) 
-            r_df.to_pickle(Path(__file__).parent / "Persistent_Data/reported_df.PICKLE")
+            r_d = datasets.Dataset.from_pandas(r_df)
+            r_d.save_to_disk('auto-bg/reported.json')
 
     
     ###Variables
@@ -407,6 +407,7 @@ def about_us():
 def feedback():
     import pandas as pd
     from pathlib import Path
+    import datasets
     
     st.subheader('Leave comments below')
 
@@ -415,12 +416,12 @@ def feedback():
         sub = st.form_submit_button('Submit')
     
         if sub:
-            feed_ser = pd.read_csv(Path(__file__).parent / "Persistent_Data/Feedback.csv")
+            f_f = datasets.load_dataset('auto-bg/feedback.csv')
+            f_csv = f_f.to_csv()
             f_s = pd.Series(f)
-            feed_ser = feed_ser.append(f_s, ignore_index=True)
-            feed_ser.to_csv(Path(__file__).parent / "Persistent_Data/Feedback.csv")
-
-
+            f_f = f_f.append(f_s, ignore_index=True)
+            f_w = datasets.Dataset.from_csv(f_f)
+            f_w.save_to_disk('auto-bg/feedback.csv')
 
 
 with tab1: